At a Glance
- Tasks: Develop machine learning algorithms to tackle real-world challenges and present your work to industry leaders.
- Company: Join CoVar, a passionate AI/ML R&D company making a difference in various fields.
- Benefits: Enjoy competitive salary, equity options, flexible work schedule, and comprehensive health coverage.
- Other info: Opportunities for career growth and publishing novel work in both classified and unclassified settings.
- Why this job: Make an impact with cutting-edge AI technology while working on meaningful projects.
- Qualifications: Expertise in Python, machine learning fundamentals, and familiarity with computer vision algorithms required.
The predicted salary is between 63000 - 77000 £ per year.
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.
You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.
Qualifications
- Expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow.
- Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices).
- Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) is valued.
- Familiarity with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques.
- Previous experience with DoD customers is a plus.
Minimum qualifications
- Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch or TensorFlow; CI/CD pipelines and regression testing.
- AI/ML expertise: Machine learning fundamentals; deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
- B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field.
- Excellent technical communication skills.
- Ability to work in Durham, NC (relocation assistance available).
- Eligibility for US security clearance (US citizenship is required).
Bonus skills
- Department of Defense project experience.
- Active US security clearance (secret or higher).
Benefits
- Competitive salary, cash bonus, equity structure, and 401k with employer contributions.
- Excellent health care coverage, including dental and vision plans.
- Parental leave.
- Short-term and long-term disability insurance.
- Life insurance.
- Flexible work schedule.
- Tuition support.
- PTO and paid holidays.
Machine Learning Engineer (hybrid or remote) employer: CoVar
CoVar is an exceptional employer that values the expertise of its employees, particularly in the Field Operations Advisor role, where your military experience will directly influence the integration of cutting-edge AI technology within the Army. Located in Durham, NC, CoVar fosters a collaborative work culture that encourages professional growth through strategic relationships and hands-on support for military units, all while offering competitive benefits such as flexible work schedules, comprehensive healthcare, and tuition support. Join us to be part of a passionate team dedicated to making a meaningful impact in defence and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (hybrid or remote)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CoVar or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CoVar.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CoVar.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CoVar that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer (hybrid or remote)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CoVar.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CoVar and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CoVar
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CoVar uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
